This paper proposes a combination network traffic prediction model based on neural networks.Firstly

SMOF network is used to cluster the network traffic data

and then used the clustering Elman network to train and predict

and Elman network is optimized by genetic algorithm to improve the network traffic prediction accuracy.Simulation results indicate that the combined neural network prediction model accelerates the prediction speed and improve the network traffic prediction accuracy

overcoming the single forecasting model insufficient

it has the very good application prospects.